Similarly to the tokenizer used in [1]}, all tokenizers presented in Table REF  have a vocabulary of size 8192.
For the random tokenizer, we sample 8192 vectors with uniform component-wise distribution.
For the random patches tokenizer we sample 8192 patches from different images.
For the K-means tokenizer, the 8192 elements of the vocabulary are obtained by applying the K-means algorithm to 3 millions patches sampled from the dataset.
